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Table A.2.

Summary of the selection functions applied in MICE2 compared to the literature selection functions for the 2dFLenS sample.

Sub-sample 2dFLenS selection MICE2 object selection Comments
low-z, Cut I 16.0 <  r <  19.2 16.5 <  r <  19.2
r <  13.1 + c/0.3 r <  13.1 + c/0.32
|c|< 0.2 |c|< 0.2

low-z, Cut II 16.0 <  r <  19.5 16.5 <  r <  19.5
|c|> 0.45 − (g − r)/6 |c|> 0.45 − (g − r)/6
g − r >  1.3 + 0.25(r − i) g − r >  1.3 + 0.25(r − i)

low-z, Cut III 16.0 <  r <  19.6 16.5 <  r <  19.6
r <  13.5 + c/0.3 r <  13.5 + c/0.32
|c|< 0.2 |c|< 0.2

mid-z 17.5 <  i <  19.9 17.5 <  i <  19.9
r − i <  2.0 r − i <  2.0
d >  0.55 d >  0.55
i <  19.86 + 1.6(d − 0.8) i <  19.86 + 1.6(d − 0.9)

high-z r − W1 <  2(r − i) r − Ks >  1.9(r − i) Used r − Ks as substitute for missing r − W1 in MICE2.
r − i >  0.98 r − i >  0.98
i − Z >  0.6 i − Z >  0.6
19.9 <  i <  21.8 19.9 <  i <  21.8
z <  19.95 z <  19.9

Notes. All selections here invoke “and” logic: rule1& rule2& etc. Deliberate adjustments that yield a better match in the simulated and real redshift distributions are highlighted in bold-face.

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